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A new hybrid model for power forecasting of a wind farm using spatial–temporal correlations Journal article
Songkang Wen, Yanting Li, Yan Su. A new hybrid model for power forecasting of a wind farm using spatial–temporal correlations[J]. Renewable Energy, 2022, 198, 155-168.
Authors:  Songkang Wen;  Yanting Li;  Yan Su
Favorite | TC[WOS]:15 TC[Scopus]:15  IF:9.0/8.1 | Submit date：2022/11/07
Local Pattern  Wind Propagation  Adaptively Clustering  Support Vector Regression  
LMSVCR: novel effective method of semi-supervised multi-classification Journal article
Dong, Zijie, Qin, Yimo, Zou, Bin, Xu, Jie, Tang, Yuan Yan. LMSVCR: novel effective method of semi-supervised multi-classification[J]. Neural Computing and Applications, 2022, 34(5), 3857-3873.
Authors:  Dong, Zijie;  Qin, Yimo;  Zou, Bin;  Xu, Jie;  Tang, Yuan Yan
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:4.5/4.7 | Submit date：2022/03/28
Laplacian Svm  Learning Rate  Multi-classification  Semi-supervised Learning  Support Vector Classification-regression  
Integrating Support Vector Regression with Particle Swarm Optimization for Numerical Modeling for Algal Blooms of Freshwater Book chapter
出自: Advances in Monitoring and Modelling Algal Blooms in Freshwater Reservoirs General Principles and a Case study of Macau:Science+Business Media Dordrecht 2017, 2017
Authors:  lnchio Lou;  Zhengchao Xie;  Wai Kin Ung;  Kai Meng Mok
Favorite | TC[Scopus]:20 | Submit date：2019/06/26
Algal Bloom  Prediction And Forecast Models  Phytoplankton Abundance  Support Vector Regression  Particle Swarm Optimization  
Fuzzy density weight-based support vector regression for image denoising Journal article
Zhang Y., Xu S., Chen K., Liu Z., Chen C.L.P.. Fuzzy density weight-based support vector regression for image denoising[J]. Information Sciences, 2016, 339, 175-188.
Authors:  Zhang Y.;  Xu S.;  Chen K.;  Liu Z.;  Chen C.L.P.
Favorite | TC[WOS]:9 TC[Scopus]:11 | Submit date：2019/02/11
Fuzzy Density Weight  Image Denoising  Least Squares Support Vector Regression  
Integrating Support Vector Regression with Particle Swarm Optimization for numerical modeling for algal blooms of freshwater Journal article
Inchio Lou, Zhengchao Xie, Wai Kin Ung, Kai Meng Mok. Integrating Support Vector Regression with Particle Swarm Optimization for numerical modeling for algal blooms of freshwater[J]. Applied Mathematical Modelling, 2015, 39(19), 5907-5916.
Authors:  Inchio Lou;  Zhengchao Xie;  Wai Kin Ung;  Kai Meng Mok
Favorite | TC[WOS]:19 TC[Scopus]:20  IF:4.4/4.2 | Submit date：2019/02/12
Algal Bloom  Particle Swarm Optimization  Phytoplankton Abundance  Prediction And Forecast Models  Support Vector Regression  
Integrating Support Vector Regression with Particle Swarm Optimization for numerical modeling for algal blooms of freshwater Journal article
Lou,Inchio, Xie,Zhengchao, Ung,Wai Kin, Mok,Kai Meng. Integrating Support Vector Regression with Particle Swarm Optimization for numerical modeling for algal blooms of freshwater[J]. Applied Mathematical Modelling, 2015, 39(19), 5907-5916.
Authors:  Lou,Inchio;  Xie,Zhengchao;  Ung,Wai Kin;  Mok,Kai Meng
Favorite | TC[WOS]:19 TC[Scopus]:20  IF:4.4/4.2 | Submit date：2021/03/09
Algal Bloom  Particle Swarm Optimization  Phytoplankton Abundance  Prediction And Forecast Models  Support Vector Regression  
A three-domain fuzzy support vector regression for image denoising and experimental studies Journal article
Liu Z., Xu S., Chen C.L.P., Zhang Y., Chen X., Wang Y.. A three-domain fuzzy support vector regression for image denoising and experimental studies[J]. IEEE Transactions on Cybernetics, 2014, 44(4), 516-525.
Authors:  Liu Z.;  Xu S.;  Chen C.L.P.;  Zhang Y.;  Chen X.; et al.
Favorite | TC[WOS]:33 TC[Scopus]:40 | Submit date：2019/02/11
Fuzzy Support Vector Regression (Fsvr)  Three-domain Fuzzy Kernel Function (3dfkf)  Three-domain Fuzzy Support Vector Regression (3dfsvr)  Uncertain Data  
A UKF-based predictable SVR learning controller for biped walking Journal article
Wang,Liyang, Liu,Zhi, Chen,Philip, Zhang,Yun, Lee,Sukhan, Chen,Xin. A UKF-based predictable SVR learning controller for biped walking[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2013, 43(6), 1440-1450.
Authors:  Wang,Liyang;  Liu,Zhi;  Chen,Philip;  Zhang,Yun;  Lee,Sukhan; et al.
Favorite | TC[WOS]:29 TC[Scopus]:31  IF:8.6/8.7 | Submit date：2021/03/09
Biped Robot  Gait Control  Learning Control  State Prediction  Support Vector Regression (Svr)  Unscented Kalman Filter (Ukf)  
Algorithm of removing outliers in SVR Journal article
Zeng S., Wei Y., Tang Y.. Algorithm of removing outliers in SVR[J]. Chongqing Daxue Xuebao/Journal of Chongqing University, 2012, 35(12), 120-132.
Authors:  Zeng S.;  Wei Y.;  Tang Y.
Favorite |  | Submit date：2019/02/11
Algorithm  Algorithm of detecting outliers  Simulation  SVR(support vector regression)  
An algorithm of detecting outliers in SVR Journal article
SHAOHUA ZENG, YUANYAN TANG, YAN WEI, HANSHU QIN. An algorithm of detecting outliers in SVR[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2012, 10(5).
Authors:  SHAOHUA ZENG;  YUANYAN TANG;  YAN WEI;  HANSHU QIN
Favorite | TC[WOS]:3 TC[Scopus]:2  IF:0.9/1.1 | Submit date：2019/02/11
Algorithm  Algorithm Of Detecting Outliers  Outliers  Simulation  Support Vector Regression (Svr)